4.5 | 6 ratings Rate this file 609 downloads (last 30 days) File Size: 2.74 KB File ID: #18289

Neural Network training using the Extended Kalman Filter

10 Jan 2008 (Updated 07 Feb 2008)

A function using the extended Kalman filter to train MLP neural networks

File Information
Description	The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example shows a way how this can be done.
Acknowledgements	The author wishes to acknowledge the following in the creation of this submission: Learning the Extended Kalman Filter This submission has inspired the following: Neural Network training using the Unscented Kalman Filter
MATLAB release	MATLAB 7.5 (R2007b)
Other requirements	It requires the ekf function, which can be downloaded from the following link: http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=18189&objectType=FILE

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Everyone's Tags	extended kalman filter, fuzzy logic, neural networks, parameter estimation
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Comments and Ratings (6)
21 Feb 2008	mahendra shukla	too good
21 Feb 2008	lekouch khalid	is an intersent work
21 Jul 2008	a s
28 Jul 2008	piyush singhal	it is a good effort pl generate codes for it which can be help ful for mpc
16 Sep 2008	Devanathan M	Very nice
08 Oct 2008	x y	Great job!

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Updates
07 Feb 2008	update description

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